{"id":"W2989960656","doi":"10.4000/histoiremesure.5743","title":"Le chiffre et la carte","year":2017,"lang":"fr","type":"article","venue":"Histoire & Mesure","topic":"Census and Population Estimation","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Latin Americans; Archaeology; Geography; History; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005985065,0.0002103454,0.0002982742,0.0000426564,0.001313589,0.0001768119,0.0002677673,0.0002745159,0.0003407154],"category_scores_gemma":[0.0004317121,0.0002334423,0.0001543984,0.00003544429,0.0002650068,0.0003590551,0.00007284596,0.0002903281,0.0002154372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008043648,"about_ca_system_score_gemma":0.0002017078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009540684,"about_ca_topic_score_gemma":0.00143469,"domain_scores_codex":[0.9987412,0.000203396,0.0003180762,0.0002447337,0.0002477508,0.0002448308],"domain_scores_gemma":[0.9982898,0.000122166,0.0004366206,0.0009323647,0.0001126407,0.000106399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001282312,0.0001886528,0.004939108,0.0003607387,0.00003650801,0.00004221599,0.002320328,0.00006100933,0.00007544587,0.8420649,0.09664372,0.05325461],"study_design_scores_gemma":[0.0006976102,0.00002510544,0.08921706,0.0003155949,0.00010964,0.00005599391,0.00004921477,0.002003425,0.00002834324,0.03736437,0.8698525,0.0002810737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1021982,0.01115985,0.003273175,0.06227807,0.006306793,0.000613625,0.000284657,0.0002325628,0.8136531],"genre_scores_gemma":[0.8812289,0.00007256003,0.003196633,0.0001911508,0.0003011068,0.000008789576,0.00004966931,0.00004832763,0.1149028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8047004,"threshold_uncertainty_score":0.9999866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03331797504051753,"score_gpt":0.3298064500668095,"score_spread":0.2964884750262919,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}